Xinlei Wang
Impact in
- Statistics and Probability top 1%
- Statistical Distribution Estimation and Applications
- Statistical Methods and Bayesian Inference
- Catalysis top 5%
- Catalysis and Oxidation Reactions
Papers in
-
- Statistical Methods and Bayesian Inference 26
- Statistical Methods and Inference 15
- Statistical Distribution Estimation and Applications 14
- Statistical Methods in Clinical Trials 8
- Co-authors
- Johan LimSaeed Abu‐NimehDario NappaSuku NairMin ChenPrasant MohapatraGuanghua XiaoLynne Stokes
- Journals
- Statistics in Medicine (7 papers)Bioinformatics (6 papers)Computational Statistics & Data Analysis (5 papers)Frontiers in Genetics (4 papers)BMC Genomics (3 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Xinlei Wang
181 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 192
- Statistics and Probability 332
- Catalysis 218
- Computer Science Applications 154
- Statistics, Probability and Uncertainty 150
- Information Systems 422
Countries citing papers authored by Xinlei Wang
This map shows the geographic impact of Xinlei Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xinlei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinlei Wang more than expected).
Fields of papers citing papers by Xinlei Wang
This network shows the impact of papers produced by Xinlei Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xinlei Wang. The network helps show where Xinlei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinlei Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 21 | |
| 7 | 2022 | 12 | |
| 8 | 2021 | 12 | |
| 9 | 2021 | 48 | |
| 10 | 2021 | 53 | |
| 11 | 2020 | 43 | |
| 12 | 2020 | 6 | |
| 13 | 2020 | 4 | |
| 14 | 2019 | 11 | |
| 15 | 2019 | 67 | |
| 16 | 2019 | 48 | |
| 17 | 2019 | 36 | |
| 18 | Effects of dietary arachidonic acid on the immune-related gene expressions and Vibrio-resistant ability in Litopenaeus vannamei. | 2016 | 1 |
| 19 | 2015 | 19 | |
| 20 | 2007 | 56 |
About Xinlei Wang
Xinlei Wang is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Horticulture, Catalysis and Cancer Research, having authored 196 papers that have together received 3.3k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (26 papers), Statistical Methods and Inference (15 papers), Gene expression and cancer classification (15 papers), Statistical Distribution Estimation and Applications (14 papers), Statistical Methods in Clinical Trials (8 papers), Catalytic Processes in Materials Science (8 papers), Single-cell and spatial transcriptomics (8 papers) and Cancer-related molecular mechanisms research (8 papers). The work is most often cited by research in Statistics and Probability (332 citations), Catalysis (218 citations), Computer Science Applications (154 citations), Statistics, Probability and Uncertainty (150 citations) and Information Systems (422 citations). Xinlei Wang has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Johan Lim, Saeed Abu‐Nimeh, Dario Nappa, Suku Nair, Min Chen, Prasant Mohapatra, Guanghua Xiao, Lynne Stokes, Peng Tao and Yang Xie. Their work appears in journals such as Statistics in Medicine, Bioinformatics, Computational Statistics & Data Analysis, Frontiers in Genetics and BMC Genomics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.